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26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 3 Paul Dauncey, Imperial College London.

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Presentation on theme: "26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 3 Paul Dauncey, Imperial College London."— Presentation transcript:

1 26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 3 Paul Dauncey, Imperial College London

2 26 Apr 2009Paul Dauncey 2 DECAL lectures summary Lecture 1 – Ideal case and limits to resolution Digital ECAL motivation and ideal performance compared with AECAL Shower densities at high granularity; pixel sizes Effects of EM shower physics on DECAL performance Lecture 2 – Status of DECAL sensors Basic design requirements for a DECAL sensor Current implementation in CMOS technology Characteristics of sensors; noise, charge diffusion Results from first prototypes; verification of performance Lecture 3 – Detector effects and realistic resolution Effect of sensor characteristics on EM resolution Degradation of resolution due to sensor performance Main issues affecting resolution Remaining measurements required to verify resolution

3 26 Apr 2009Paul Dauncey 3 DECAL lectures summary Lecture 1 – Ideal case and limits to resolution Digital ECAL motivation and ideal performance compared with AECAL Shower densities at high granularity; pixel sizes Effects of EM shower physics on DECAL performance Lecture 2 – Status of DECAL sensors Basic design requirements for a DECAL sensor Current implementation in CMOS technology Characteristics of sensors; noise, charge diffusion Results from first prototypes; verification of performance Lecture 3 – Detector effects and realistic resolution Effect of sensor characteristics on EM resolution Degradation of resolution due to sensor performance Main issues affecting resolution Remaining measurements required to verify resolution

4 26 Apr 2009Paul Dauncey 4 Detector effects Lecture 1 showed that a DECAL with 50  m pixels has potential to give good linearity and resolution Lecture 2 showed we can characterise the TPAC1 sensor performance Now put the two together to show realistic resolution Assume a whole ECAL made from TPAC1-like sensors Must include the effects of Noise Charge diffusion between pixels Dead areas

5 26 Apr 2009Paul Dauncey 5 Basic epitaxial layer energy deposits A MIP creates ~80 electron- hole pairs in silicon per 1  m Equivalently, deposits energy with dE/dx ~ 300eV/  m Passing through 12  m of the epitaxial layer at normal incidence leaves an average of ~1000e − signal charge Equivalently, deposits a total of ~3.6keV Noise is ~20e − Equivalent to ~70eV deposit

6 26 Apr 2009Paul Dauncey 6 Effect of diffusion; example layer Diffusion  1mm

7 26 Apr 2009Paul Dauncey 7 Effect of diffusion Diffusion MeV

8 26 Apr 2009Paul Dauncey 8 Effect of diffusion on signal charge Original charge (energy) deposited in hit pixel Remaining charge in hit pixel after diffusion Charge diffused into hit pixels from neighbours Charge diffused into non-hit pixels Total charge distribution Total distribution including noise

9 26 Apr 2009Paul Dauncey 9 Effect of threshold Threshold

10 26 Apr 2009Paul Dauncey 10 Compare with original particles TETRIS! Single particle can result in ~1-4 pixels being above threshold All neighbouring Call each isolated group a “cluster” Count clusters not pixels to estimate particle number PROBLEM: close-by particles give larger clusters Estimate particles in a cluster by 1+N 8 N 8 = number of pixels with all 8 neighbours also hit

11 26 Apr 2009Paul Dauncey 11 Depends on threshold and noise values Threshold = 150eV

12 26 Apr 2009Paul Dauncey 12 Depends on threshold and noise values Threshold = 200eV

13 26 Apr 2009Paul Dauncey 13 Depends on threshold and noise values Threshold = 300eV

14 26 Apr 2009Paul Dauncey 14 Depends on threshold and noise values Threshold = 400eV

15 26 Apr 2009Paul Dauncey 15 Depends on threshold and noise values Threshold = 500eV

16 26 Apr 2009Paul Dauncey 16 Depends on threshold and noise values Threshold = 900eV

17 26 Apr 2009Paul Dauncey 17 Efficiency for MIPs Expect ~95% efficiency Perfectly OK for a DECAL Not so good for a tracker!

18 26 Apr 2009Paul Dauncey 18 Resolution effect of noise Choosing threshold ~500eV gives same resolution as with no noise Close to ideal resolution of Lecture 1: ~10% worse Following plots with noise of 120eV Pessimistic: actual measured noise is 70eV Ideal DECAL

19 26 Apr 2009Paul Dauncey 19 Resolution effect of charge diffusion With no charge diffusion, signal is ~3 times bigger; threshold cut has almost no effect over this range With charge diffusion and correct threshold, resolution is only slightly degraded Small disagreements of charge diffusion modelling not significant Ideal DECAL diffusion

20 26 Apr 2009Paul Dauncey 20 Resolution with and without deep p-well Without deep p-well, a lot of charge is lost to circuit n-wells Average signal is ~25% of deep p-well case With deep p-well Without deep p-well Q Fraction

21 26 Apr 2009Paul Dauncey 21 Resolution with and without deep p-well Without deep p-well, approximately only ¼ of number of pixel hits seen Contributes as  N so gives factor of two worse resolution Deep p-well essential Deep p-well No deep p-well Ideal DECAL

22 26 Apr 2009Paul Dauncey 22 Resolution effect of dead areas Small frequent dead areas reduce the number of pixels hit for all showers by the same amount Gives  N fluctuations to all showers Large infrequent dead areas lose many hits for some showers and none for others Gives big fluctuations for some fraction of showers

23 26 Apr 2009Paul Dauncey 23 Resolution effect of dead areas Dead memory storage pixels on TPAC1 give 11% dead area Strips of 250  m wide One strip every 2.35mm Small(ish) compared to EM shower so goes as  N ~5% degradation Also shown is 15% dead area Includes estimates 4% extra dead area from sensor edges Ideal DECAL

24 26 Apr 2009Paul Dauncey 24 Resolution effect of clustering Charge diffusion means one MIP can (usually) give between 1 and 4 pixel hits Ruins resolution if counting pixels with no clustering Basic clustering using 1+N 8 essential to achieve good resolution Scope to play with clustering algorithms and improve further? Ideal DECAL

25 26 Apr 2009Paul Dauncey 25 Effect on Particle Flow? 16mm 2 AECAL cells 50  50μm 2 DECAL pixels ZOOM

26 26 Apr 2009Paul Dauncey 26 Remember... Most of this is purely simulation Almost definitely wrong! Could be many “real detector” problems not yet found; we have heard about Guard rings, temperature dependence, fibre-PMT alignment, sparking, electromagnetic pickup, etc, etc... We don’t know what the DECAL problems will be yet No detailed measurement of shower density at very small granularity GEANT4 not tested at 50  m so core density may be much higher GEANT4 may not give right number of low energy (~keV) photons We MUST do these measurements to take this concept seriously

27 26 Apr 2009Paul Dauncey 27 Future measurements Next version of TPAC1 being made now Due within one week Must do beam test this summer to measure hit densities in showers Carefully compare against GEANT4 TPAC1 only ~1×1cm 2 Cannot see whole shower or measure energy resolution Design larger version, TPAC2, size ~2.5×3cm 2, and make ~20 layer DECAL in 2010 Find out if concept really works! (Funding permitting  )


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